title: Assessment methodology for computer-based instructional simulations.
abstract: Computer-based instructional simulations are becoming more and more ubiquitous, particularly in military and medical domains. As the technology that drives these simulations grows ever more sophisticated, the underlying pedagogical models for how instruction, assessment, and feedback are implemented within these systems must evolve accordingly. In this article, we review some of the existing educational approaches to medical simulations, and present pedagogical methodologies that have been used in the design and development of games and simulations at the University of California, Los Angeles, Center for Research on Evaluation, Standards, and Student Testing. In particular, we present a methodology for how automated assessments of computer-based simulations can be implemented using ontologies and Bayesian networks, and discuss their advantages and design considerations for pedagogical use.
authors.affiliation: Graduate School of Education & Information Studies, Center for the Study of Evaluation (CSE), National Center for Research on Evaluation, Standards, & Student Testing (CRESST), University of California, Los Angeles, 300 Charles E. Young Drive North, GSE&IS Building, Box 951522, Los Angeles, CA 90095-1522.
authors.forename: Alan
authors.initials: A
authors.lastname: Koenig
authors.forename: Markus
authors.initials: M
authors.lastname: Iseli
authors.forename: Richard
authors.initials: R
authors.lastname: Wainess
authors.forename: John J
authors.initials: JJ
authors.lastname: Lee
mesh_terms: D001499:Bayes Theorem; D003198:Computer Simulation; D003194:Computer-Assisted Instruction; D004501:Education, Medical / Q000379:methods*; D004521:Educational Measurement / Q000379:methods*; D006801:Humans; D017145:Models, Educational; D012985:Software Design; D018910:Video Games